PhD scholarship: Machine Learning Frameworks for Microwave-based Structural Inspections

Summary

Enrolment status New students
Student type Domestic students, International students
Level of study Higher Degree by Research
Study area Engineering and Computing
HDR funding type Living stipend scholarship
Scholarship value $28,092 per annum (2020 rate), indexed annually
Scholarship duration Three years with the possibility of two 6-month extensions in approved circumstances
Opening date 16 September 2020
Closing date 18 November 2020

Description

The PhD candidate will work on designing and developing machine learning (ML) and artificial intelligence (AI) frameworks in conjunction with robotic system implementations, as part of microwave image based inspection of different material infrastructure in civil and marine industry. The applicant will be applying and testing different ML/AI concepts in order to optimise the quality and performance of infrastructure defect detection and image-based delineation of the same.

Eligibility

To be eligible, you must meet the entry requirements for a higher degree by research.

Before you get started

If this scholarship has rules, download and read them.

How to apply

To apply for admission and scholarship, follow the link on the upper right of this page. There is no separate application for scholarship because you will have the opportunity to request scholarship consideration on the application for admission.

Before submitting an application you should:

When you apply, please ensure that under the scholarships and collaborative study section you:

  1. Select ‘My higher degree is not collaborative’
  2. Select 'I am applying for, or have been awarded a scholarship or sponsorship'.
  3. Select ‘Other’, then ‘Research Project Scholarship’ and type in ‘CODEin the 'Name of scholarship' field.

See an example of what you have to do

Learn more about applying for a higher degree by research at UQ

Selection criteria

A background in electrical engineering or a related field would be of benefit to someone working on this project. Previous experience in machine learning/artificial intelligence, automation/robotics, electromagnetics and/or microwave engineering is highly desirable.

Contact

Dr Adnan Trakic
+61 (0) 416 205 497

Terms and conditions

Read the policy on UQ Research Scholarships.

A domestic part-time student with carer’s responsibilities, a medical condition or a disability, which prevents them from studying full time may be eligible for scholarship consideration, on a case by case basis.